Data Engineer (Evergreen)
Canadian Tire Corporation, Limited based in Toronto, ON is inviting applications from suitable candidates for the position of Data Engineer (Evergreen). Canadian Tire Corporation, Limited, a Canadian retail icon, offers a diverse array of products and services. From automotive and home essentials to sports and leisure goods, Canadian Tire is a one-stop destination for everyday needs. Operating through a network of stores, the company is deeply rooted in the Canadian community. Renowned for its quality products and customer loyalty programs, Canadian Tire caters to a wide consumer base. The candidates selected for the vacancy will be required to start the work as soon as possible.
Job Description:
Employer Name: Canadian Tire Corporation, Limited
Position: Data Engineer (Evergreen)
No of Vacancies: 2
Salary: Salary is not mentioned, $15.00-$20.00 hourly estimated salary
Employment Type: Full time
Location: Toronto, ON
Requirements:
Languages: Candidates must have knowledge of the English Language
Education: Candidates should have B.S. in Engineering, Science, Mathematics, Statistics or Computer Science
Experience: Candidates should have 1+ years of professional work experience or internship in data domain
Other Requirements:
- The candidates should be equipped with a strong knowledge of SQL to perform complex data analysis with experience in Python, Spark, or other languages to transform and process data
- The candidates should be able to translate business requirements into technical analytical specifications
- The candidates should have a balance of technical and business acumen, including modeling and strategic business case development
Responsibilities:
- The candidates should be able to understand the business case for data and the stakeholder’s requirements to support work processes and strategic business objectives
- The candidates should be able to design and implement data pipelines to monitor, validate model assumptions, and performance, adhering to best-in-class coding standards
- The candidates should be able to develop and optimize existing and new data pipelines to standardize and automate
- The candidates should be able to identify and troubleshoot technical issues as they arise with an entrepreneurial mindset and provide scalable resolution with follow-through
- The candidates should be able to work on ad-hoc projects that leverage multiple internal and external sources of data such as sales, inventory, cost, digital analytics, loyalty, driving patterns
How to apply:
If the position is fit for you and the basic requirements are fulfilled then you can now apply directly to the employer (along with your resume) through the below-mentioned details.
We thank all the applicants for showing their interest and trust in us, however, only the most eligible candidates will be selected and conducted for further procedure directly from employers, in between no charges/fees or original documents will be asked from any applicant. All the best!